Abstract:
With rising number of patent infringement cases, it is vital to both
individual researchers and patent lawyers to search and assess
existing patents similar to a patent before its filing. This paper
proposes a query reduction based methodology that furnishes a set
of ranked patent documents similar to a given input document. It
utilizes catch phrase based document representation to measure
patent similarity. A new measure for quantifying the similarity
between overlapping catch phrases is proposed. Different document similarity measures utilizing the catch phrase similarity score
are also presented. Proposed measures are evaluated using Mean
Average Precision (MAP) and Normalized Discounted Cumulative
Gain (nDCG).
